Report

The Digital Analytics Technology Landscape: From Packaged SaaS to Composable Architecture for AI

The digital analytics landscape has evolved significantly since 2010. While packaged tools like Google Analytics and Adobe Analytics were once the standard, companies are now adopting composable architectures to reduce data latency, gain complete data ownership, and prepare for the agentic era.

In this comprehensive report, explore how companies like Strava, Burberry, and HelloFresh are using technologies like Snowflake, Databricks, ClickHouse, Snowplow, and more to modernize their digital analytics. Learn what 15 data and analytics leaders revealed about why they replaced GA4 and Adobe Analytics with composable digital analytics architectures.

Download the report to get a comprehensive list of proven technologies to consider, a map of the digital analytics maturity curve, and practical guidance on how to modernize your own stack.

Who Should Read This Report

  • Chief Data and Analytics Officers evaluating AI-ready alternatives to GA4 and Adobe Analytics
  • Analytics & Data Engineering Leaders responsible for data infrastructure decisions
  • Analytics Managers frustrated with legacy tool limitations

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.

Get Started

Building AI-powered applications? Spin it up. Inspect the architecture. Watch your first intervention fire — all in under 10 minutes. Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.

Get Started

Whether you’re modernizing your customer data infrastructure or building AI-powered applications, Snowplow helps eliminate engineering complexity so you can focus on delivering smarter customer experiences.